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114 ML Data Infrastructure jobs

Showing 1–20 of 114 jobs

O

San Francisco, California, US (Hybrid)

$347–445K / year

About the Team The Monetization team is a new cross-functional group working across engineering, product, research, and design to build the…

5 mo. ago

S

San Francisco, California, US (On-site)

$189.6–237K / year

Scale’s ML platform (RLXF) team builds our internal distributed framework for large language model training and inference.

2 yr. ago

MA

Berlin, DE (Hybrid)

Mirelo AI is building the next generation of creative tools by generating realistic sound, speech and music from video.

11 mo. ago

AI

Data Engineer - Axion

Applied Intuition

Sunnyvale, California, US (On-site)

$200–275K / year

Applied Intuition, Inc.

3 mo. ago

N

Santa Clara, California, US (On-site)

$240–379.5K / year

NVIDIA is seeking a senior product leader to define the strategy and build the platforms that deliver high-quality training data for our foundation models.

4 wk. ago

S

San Francisco, California, US (On-site)

$190–320K / year

About Sesame Sesame believes in a future where computers are lifelike - with the ability to see, hear, and collaborate with us in ways that feel…

4 mo. ago

H

Palo Alto, California, US (On-site)

About Harmonic At Harmonic, we are building a mathematical reasoning engine that operates with absolute precision.

6 mo. ago

D

San Francisco, California, US (On-site)

$3K / week

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.

3 mo. ago

TM

San Francisco, California, US (On-site)

$300–400K / year

About Thinking Machines The mission of Thinking Machines is to build AI that extends human will and judgment.

1 mo. ago

A

San Francisco, California, US (Hybrid)

$365–435K / year

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems.

3 mo. ago

D

Santa Clara, California, US (Hybrid)

$195–285K / year

At d-Matrix , we are focused on unleashing the potential of generative AI to power the transformation of technology.

3 mo. ago

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